Electronic demography decision making system
Abstract
The article suggests an approach to the development of an electronic demographic decision support system using data warehouse and interactive analytical processing OLAP. This makes it possible to conduct research on demographic processes at a high level and to support decision makers in the field of demography. Due to the presence of many types of demography and a large number of indicators, proposed in the article, a Data Mart Bus Architecture with Linked Dimensional Data Marts is proposed as a Data Warehouse architecture. The article also shows the practical application of this approach using two Data Marts as an example. Based on these Data Marts, OLAP-cubes are built. OLAP operations provide the ability to view cubes in various slices, as well as provide aggregate data.
Problems in programming 2020; 2-3: 228-236
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Rudnitskaya A., Novikov E. The main directions of formation, problems and tasks of demographic policy in modern Russia. PolitBook. 2015. 1. P. 43-56. (in Russian). Available from: https://cyberleninka.ru/article/n/osnovnye-napravleniya-formirovaniya- problemy-i-zadachi-demograficheskoy-politiki-v-sovremennoy-rossii.
Alguliyev R., Nabibayova G., Gurbanova A. Development of a Decision Support System with the use of OLAP-Technologies in the National Terminological Information Environment. International Journal of Modern Education and Computer Science (IJMECS). 2019. V. 11, 6. P. 43-52. CrossRef
Nabibayova G. Application of OLAP-technologies in decision support systems in the field of foreign policy. Information Technology. 2012. 2. Р. 73-76. Moscow: Noviye tekhnologii. (in Russian).
Levina E. The history of demography as a science and its role in the current macroeconomic situation in Russia. Bulletin of TSU. 2008. 11 (67). Р. 409-413. (in Russian). Available from: https://cyberleninka.ru/article/n/istoriya-demografii-kak-nauki-i-ee-rol-v-sovremennoy-makroekonomicheskoy-situatsii-v-rossii.
Valentey D. I. (ed). Descriptive Demography. Encyclopedic Demographic Dictionary. Moscow: Sovetskaya entsiklopediya. 2015 (in Russian).
Knowledge Fund "LOMONOSOV". (2010). Demography. [Online] October 2010 (in Russian). Available from: http://www.lomonosov-fund.ru/enc/ru/encyclopedia:0147:article?vnum=28696 [Accessed: 31th January 2020].
Boyko А., Karmanov М. Economic demography. Moscow: Publishing house of MESI. 1999. 68 p. (in Russian).
Mohnatkina Е., Golubev А. Indicators, trends and factors of economic development of economic entities in the Russian Federation. Scientific journal NRU ITMO. Series "Economics and Ecological Management". 2015. 3. Р. 106-116. (in Russian).
Kasmina О., Puchkov P. Basics of Ethnodemography. Moscow: Nauka. 1994. 253 p. (in Russian).
Sakayev V. Political demography: subject field and research opportunities. The scientific and political journal "Vlast", Institute of Sociology, Russian Academy of Sciences. 2011. 7. Р. 86-88. (in Russian).
Fedorov G. On current trends in geodemographic research in Russia. Baltic region. 2014. 2 (20). p. 7-28. (in Russian). CrossRef
Sharshakova T., Dorofeev M. Population statistics and medical demography. Gomel: GSMU. 2014. 57 p. (in Russian).
Motrevich V. Historical demography of Russia. Ekaterinburg: Publishing house of the Ural Federal University. 2000.168 p. (in Russian).
Vorontsov А. Demography. 2016 [Online] (in Russian). Available from: URL: https://studme.org/44089/sotsiologiya/demografiya [Accessed: 10th January 2020]
Belyaevsky I. Social and demographic marketing: problems, goals, analysis. 2014 [Online] (in Russian). Available from: http://library.asue.am/open/art27.pdf [Accessed: 14th January 2020]
Alguliyev R., Aliguliyev R., Yusifov F., Alekperova I. Developing electronic demography as an effective tool for social research and monitoring population data. Public administration issues. 2020. 4. Р. 61-86. (in Russian). Available from: https://vgmu.hse.ru/2019--4/326123454.html
Zabotnev M. Methods of presenting information in sparse data hypercubes. 2006 (in Russian). Available from: http://www.olap.ru/basic/theory.asp (in Russian). [Accessed: 16th Oktober 2019].
Kashirin I., Semchenkov S. Interactive analytical data processing in modern OLAP systems. Business Informatics. 2009. 2. Р. 12-19. (in Russian).
Ariyachandra T., Watson H. Key Factors in Selecting a Data Warehouse Architecture. Business Intelligence Journal. 2005. vol. 10. 2. Р. 19-26.
DOI: https://doi.org/10.15407/pp2020.02-03.228
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